CN109657403A - A kind of three-dimensional live bridge modeling optimization method based on unmanned plane oblique photograph - Google Patents
A kind of three-dimensional live bridge modeling optimization method based on unmanned plane oblique photograph Download PDFInfo
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Abstract
The invention discloses a kind of three-dimensional live bridge modeling optimization method based on unmanned plane oblique photograph, comprising the following steps: carry out that unmanned plane course line is default to the detection bridge that needs model, the entirety for obtaining bridge, which is taken pictures, a little takes pictures a little with details；Using unmanned plane oblique photograph, bridge actual scene picture is obtained；Using full-automatic photogrammetric and 3 d modeling software, bridge actual scene picture is imported, is successively aligned, and optimizes alignment thereof；Point off density cloud is generated according to the picture optimized and is optimized for the first time；It generates grid according to point cloud data and carries out stripping and slicing and subtract face, bridge inside key position details is optimized；The grid that optimization is completed carries out texture generation, to complete the foundation of bridge three-dimensional live model.The present invention simplifies modeling process, improves the operational efficiency of three-dimensional modeling, reduce operation cost in the case where guaranteeing that threedimensional model clarity is constant and details is not lost.
Description
Technical field
The invention belongs to the technical fields of bridge modeling, and in particular to a kind of three-dimensional live based on unmanned plane oblique photograph
Bridge modeling optimization method.
Background technique
In recent years, it along with the raising of the high speed development of computer science and technology and the digital level of informatization, is set in engineering
During meter, the demand of people is not limited solely to two-dimensional surface design drawing traditional in hand, is more intended to obtain
It is more clear delivery method that is intuitive and including detailed design model.This mode enables to the buying in later period to put into, construction
Construction and maintenance management are more convenient.Large bridge dimensional Modeling Technology is sent out in current computer aided design techniques
The significant design tool of successful is opened up, effective application of three-dimensional live modeling technique substantially reduces engineering construction initial stage institute
The design cycle needed equally also improves designing quality and efficiency, has liberated manpower and material resources to the greatest extent.
Currently, in the design setting model of traditional bridge three-dimensional live model, most of modeling software mainly for
It is building and manufacturing field, is less able to meet the design requirement of transportation, especially in three-dimensional live bridge model
In exploitation, lack representative design setting model optimization process.In the design of existing bridge three-dimensional live modeler model, there are many
Problem, such as: modelling does not meet the habit of traffic transport industry bridge modeling, can only meet generally wanting for three-dimensional modeling
It asks；Garbage is too many during bridge modeling, greatly reduces the efficiency of modeling；Ambient noise other than bridge framing
It introduces, so that needing more powerful hardware auxiliary facility that could complete to model, finally results in higher operation cost, reduce economical
Benefit；In establishing bridge three-dimensional live model, key position information loss is too obvious, and model detail is unable to undergo test etc..
Summary of the invention
The technical problem to be solved by the present invention is to solve the above shortcomings of the prior art and to provide one kind to be inclined based on unmanned plane
The three-dimensional live bridge modeling optimization method tiltedly photographed.
To realize the above-mentioned technical purpose, the technical scheme adopted by the invention is as follows:
A kind of three-dimensional live bridge modeling optimization method based on unmanned plane oblique photograph, comprising the following steps:
(1) according to dependency structure in real bridge, in conjunction with actual geographic location information parameter, detection bridge that needs are modeled into
Row unmanned plane course line is default, and the entirety for obtaining bridge, which is taken pictures, a little takes pictures and be arranged with details；
(2) it takes pictures in conjunction with the entirety of step (1) Bridge and a little takes pictures a little with details, using unmanned plane oblique photograph, obtain bridge
Actual scene picture；
(3) using full-automatic photogrammetric and 3 d modeling software, step (2) the bridge actual scene picture is imported, according to
Secondary alignment, and optimize alignment thereof；
(4) picture optimized according to step (3) generates point off density cloud, and carries out just suboptimization to the point off density cloud；
(5) grid is generated according to step (4) point cloud data, and stripping and slicing is carried out to the grid of generation and subtracts face, to bridge inside key
Position carries out details optimization；
(6) grid that step (5) optimization is completed is subjected to texture generation, to complete the foundation of bridge three-dimensional live model.
To optimize above-mentioned technical proposal, the concrete measure taken further include:
Above-mentioned step (1) the following steps are included:
(1.1) fixed point mark course line coordinate points, are arranged the spacing between the coordinate points of course line, and the entirety for obtaining bridge structure is taken pictures
Point；
(1.2) unmanned plane is adjusted to adaptive coodination modes, and under the adaptive coodination modes, unmanned plane is in turn condition
Under, unmanned plane automatic retarding avoids drifting off the course；
(1.3) ground monitoring platform control unmanned plane fixed point is taken pictures, and it a little is that details is taken pictures a little that the fixed point, which is taken pictures, and details is taken pictures a little pair
The key position of bridge capture and is taken pictures, and obtains details in bridge structure, so that it is default to complete the line of flight.
In above-mentioned step (3), full-automatic photogrammetric and 3 d modeling software is Photo Scan.
In above-mentioned step (4), it is optimized for optimizing skill using detail (Levels of Detail, LOD) for the first time
Art carries out external environment noise reduction, specifically:
According to bridge actual scene range, the point cloud data inside bridge level is chosen in comparison；
It by the point cloud data inside bridge context, gives and retains, by the point cloud data outside bridge context, give and pick
It removes.
Details optimization uses landscape model optimization method in above-mentioned step (5), comprising the following steps:
(5.1) it needs according to the total scene design setting model of bridge, classifies to bridge inside key position model；
(5.2) fine degree according to required by every kind of key position model is grouped；
(5.3) consistent key component model of the same race is required to carry out the optimization of batch details fine degree.
In above-mentioned step (6), texture is generated using multiple texture mapping mode of fritter.
The invention has the following advantages:
The present invention is obtained by default course line and is taken pictures a little, obtains scene photo using unmanned plane oblique photograph；By three-dimensional modeling
The scene photo that software will acquire generates point cloud data；LOD optimization is carried out to point cloud data to pick ambient noise-reduction optimization processing
Other environmental datas in addition to bridge construction；And the generation grid stripping and slicing of the point cloud data of first optimization processing is subtracted into face, and
Details optimization is carried out to the key position in bridge construction by the optimization of landscape model, needing to focus in bridge construction
Highlight key message optimization amplification；Texture is ultimately produced, and establishes the bridge three-dimensional live model.
The present invention simplifies modeling process, mentions in the case where guaranteeing that threedimensional model clarity is constant and details is not lost
The operational efficiency for having risen three-dimensional modeling, reduces operation cost.
Detailed description of the invention
Fig. 1 is implementation flow chart of the invention；
Fig. 2 is that unmanned plane bridge of the embodiment of the present invention presets route track figure；
Fig. 3 is that bridge of the embodiment of the present invention is taken pictures an effect picture；
Fig. 4 is the bridge external environment noise reduction comparison diagram that the embodiment of the present invention utilizes LOD optimisation technique；
Fig. 5 is the bridge key position comparison diagram that the embodiment of the present invention utilizes landscape model optimisation technique；
Fig. 6 is three-dimensional live bridge model effect overall diagram of the embodiment of the present invention；
Fig. 7 is that the calculator memory of the embodiment of the present invention and CPU occupy comparison diagram；
Fig. 8 is three-dimensional live bridge model operational efficiency comparison diagram of the embodiment of the present invention.
Specific embodiment
The embodiment of the present invention is described in further detail below in conjunction with attached drawing.
Referring to Fig. 1, a kind of three-dimensional live bridge modeling optimization method based on unmanned plane oblique photograph of the invention, including
Following steps:
(1) according to dependency structure in real bridge, in conjunction with actual geographic location information parameter, detection bridge that needs are modeled into
Row unmanned plane course line is default, and the entirety for obtaining bridge, which is taken pictures, a little takes pictures a little with details.
In embodiment, unmanned plane course line it is default the following steps are included:
(1.1) fixed point mark course line coordinate points, are arranged the spacing between the coordinate points of course line, and the entirety for obtaining bridge structure is taken pictures
Point；
(1.2) unmanned plane is adjusted to adaptive coodination modes, and under the adaptive coodination modes, unmanned plane is in turn condition
Under, unmanned plane automatic retarding avoids drifting off the course；
(1.3) ground monitoring platform control unmanned plane fixed point is taken pictures, and it a little is that details is taken pictures a little that the fixed point, which is taken pictures, and details is taken pictures a little pair
The key position of bridge capture and is taken pictures, and obtains details in bridge structure, so that it is default to complete the line of flight.
It is as shown in Figure 2 that unmanned plane bridge presets route track.
(2) it takes pictures in conjunction with the entirety of step (1) described bridge and a little takes pictures a little with details, using unmanned plane oblique photograph, obtain
Take bridge actual scene picture；
(3) using full-automatic photogrammetric and 3 d modeling software, step (2) the bridge actual scene picture is imported, according to
Secondary alignment, and optimize alignment thereof (two dimension)；
In embodiment, full-automatic photogrammetric and 3 d modeling software is Photo Scan.
(4) picture optimized according to step (3) generates point off density cloud (three-dimensional), and carries out just suboptimum to point off density cloud
Change；
It in embodiment, is optimized for carrying out external environment noise reduction using LOD optimisation technique for the first time, that is, removes that not need graphical display hard
The details that part is drawn, specifically:
According to bridge actual scene range, the point cloud data inside bridge level is chosen in comparison；
It by the point cloud data inside bridge context, gives and retains, by the point cloud data outside bridge context, give and pick
It removes.
It can be obtained by Fig. 3, LOD optimisation technique reduces the point cloud data of threedimensional model, reduced model, lift scheme modeling speed
Degree.Reduce d solid modeling to the dependence of computer hardware performance simultaneously, reduces computer graphics processor
(Graphics Processing Unit, GPU) and central processing unit (Central Processing Unit/
Processor, CPU) load.
(5) grid is generated according to step (4) point cloud data, and stripping and slicing is carried out to the grid of generation and subtracts face, to bridge inside
Key position carries out details optimization；
In embodiment, details optimization uses landscape model optimization method, comprising the following steps:
(5.1) it needs according to the total scene design setting model of bridge, classifies to bridge inside key position model；
(5.2) fine degree according to required by every kind of key position model is grouped；
(5.3) consistent key component model of the same race is required to carry out the optimization of batch details fine degree.
Face number and number of vertex are more, and the system resource of consumption is more.Available from figure 4, landscape model optimization method highlights bridge
Reduce reloading for bridge key position model quantity while beam interior details.
(6) grid that step (5) optimization is completed is subjected to texture generation, to complete building for bridge three-dimensional live model
It is vertical.
In embodiment, texture is generated using multiple texture mapping mode of fritter, three-dimensional live bridge model overall effect
As shown in Figure 5.
It can be obtained by Fig. 6-8, the method for the present invention is in the case where guaranteeing that threedimensional model clarity is constant and details is not lost, letter
Modeling process is changed, has improved the operational efficiency of three-dimensional modeling, reduce operation cost.
The above is only the preferred embodiment of the present invention, protection scope of the present invention is not limited merely to above-described embodiment,
All technical solutions belonged under thinking of the present invention all belong to the scope of protection of the present invention.It should be pointed out that for the art
For those of ordinary skill, several improvements and modifications without departing from the principles of the present invention should be regarded as protection of the invention
Range.
Claims (6)
1. a kind of three-dimensional live bridge modeling optimization method based on unmanned plane oblique photograph, it is characterised in that: including following step
It is rapid:
(1) according to real bridge structure, in conjunction with actual geographic location information parameter, the detection bridge modeled to needs carries out nobody
Machine course line is default, and the entirety for obtaining bridge, which is taken pictures, a little takes pictures a little with details；
(2) it takes pictures in conjunction with the entirety of step (1) described bridge and a little takes pictures a little with details, using unmanned plane oblique photograph, obtain bridge
Beam actual scene picture；
(3) using full-automatic photogrammetric and 3 d modeling software, step (2) the bridge actual scene picture is imported, according to
Secondary alignment, and optimize alignment thereof；
(4) picture optimized according to step (3) generates point off density cloud, and carries out just suboptimization to the point off density cloud；
(5) grid is generated according to step (4) point cloud data, and stripping and slicing is carried out to the grid of generation and subtracts face, to bridge inside key
Position carries out details optimization；
(6) grid that step (5) optimization is completed is subjected to texture generation, to complete the foundation of bridge three-dimensional live model.
2. a kind of three-dimensional live bridge modeling optimization method based on unmanned plane oblique photograph according to claim 1,
Be characterized in that: step (1) the following steps are included:
(1.1) fixed point mark course line coordinate points, are arranged the spacing between the coordinate points of course line, and the entirety for obtaining bridge structure is taken pictures
Point；
(1.2) unmanned plane is adjusted to adaptive coodination modes, and under the adaptive coodination modes, unmanned plane is in turn condition
Under, unmanned plane automatic retarding avoids drifting off the course；
(1.3) ground monitoring platform control unmanned plane fixed point is taken pictures, and it a little is that details is taken pictures a little that the fixed point, which is taken pictures, and details is taken pictures a little pair
The key position of bridge capture and is taken pictures, and obtains details in bridge structure, so that it is default to complete the line of flight.
3. a kind of three-dimensional live bridge modeling optimization method based on unmanned plane oblique photograph according to claim 1,
Be characterized in that: step (3) the full-automatic photogrammetric and 3 d modeling software is Photo Scan.
4. a kind of three-dimensional live bridge modeling optimization method based on unmanned plane oblique photograph according to claim 1,
Be characterized in that: step (4) is described to be optimized for carrying out external environment noise reduction using LOD optimisation technique for the first time, specifically:
According to bridge actual scene range, the point cloud data inside bridge level is chosen in comparison；
It by the point cloud data inside bridge context, gives and retains, by the point cloud data outside bridge context, give and pick
It removes.
5. a kind of three-dimensional live bridge modeling optimization method based on unmanned plane oblique photograph according to claim 1,
Be characterized in that: step (5) the details optimization is using landscape model optimization method, comprising the following steps:
(5.1) it needs according to the total scene design setting model of bridge, classifies to bridge inside key position model；
(5.2) fine degree according to required by every kind of key position model is grouped；
(5.3) consistent key component model of the same race is required to carry out the optimization of batch details fine degree.
6. a kind of three-dimensional live bridge modeling optimization method based on unmanned plane oblique photograph according to claim 1,
Be characterized in that: step (6) texture is generated using multiple texture mapping mode of fritter.
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| CN110260876A (en) * | 2019-06-27 | 2019-09-20 | 厦门建研建筑产业研究有限公司 | A kind of road model generation method and system based on oblique photograph and GIS technology |
| CN111710038A (en) * | 2020-05-25 | 2020-09-25 | 中铁六局集团有限公司 | Construction method combining photogrammetry and computer vision technology |
| CN112734924A (en) * | 2021-01-19 | 2021-04-30 | 招商局重庆交通科研设计院有限公司 | Visual modeling method for roadbed slope real-scene three-dimensional model |
| CN114326517A (en) * | 2021-12-30 | 2022-04-12 | 重庆允成互联网科技有限公司 | Remote management method and system based on virtual reality |
| CN115797584A (en) * | 2022-12-16 | 2023-03-14 | 广东省机场管理集团有限公司工程建设指挥部 | Method for constructing internal scene model in no-fly zone |
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| CN115797584B (en) * | 2022-12-16 | 2024-04-02 | 广东省机场管理集团有限公司工程建设指挥部 | Method for constructing live-action model in no-fly zone |
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